AI Backend Systems Engineer

AI Backend Systems Engineer

Remote, Nationwide

For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.

Our client is building advanced AI technology designed to turn increasingly capable models into dependable, real-world software. They are seeking an AI Backend Systems Engineer to help create the infrastructure behind intelligent applications and automated workflows operating at production scale. This is an opportunity to work at the intersection of backend engineering and applied AI, solving challenging problems involving model execution, distributed architecture, performance, reliability, and scalability. The right engineer will have meaningful ownership over systems that bring modern AI capabilities into practical everyday use.

This Role Offers:

• Competitive compensation and the opportunity to contribute to high-impact AI initiatives.
• Fully remote opportunity available to qualified candidates nationwide.
• Hands-on ownership of technically challenging systems from architecture through production operation.
• Exposure to modern AI infrastructure, model integrations, distributed services, and cloud-native technologies.
• A highly technical environment where engineering judgment, execution, and quality matter more than pedigree.
• Opportunity to solve complex scalability and reliability challenges as AI capabilities move from experimentation into production.

Focus:

• Build scalable backend infrastructure that powers AI-driven applications and enterprise automation workflows.
• Shape model-serving and workflow coordination components that connect inference, application logic, data, and external services.
• Tune service performance across request routing, caching, batching, streaming, and model calls with close attention to response time, capacity, availability, and spend.
• Create durable interfaces and service contracts that allow client applications, data stores, AI components, and third-party tools to work together cleanly.
• Establish strong operational visibility through telemetry, diagnostics, alerting, and disciplined response to production issues.
• Diagnose issues within distributed environments, determine underlying causes, and use real-world performance data to strengthen system reliability.
• Turn loosely defined product or operational needs into practical technical plans, then carry solutions from design through release and refinement.
• Partner across engineering and business functions while independently driving technically ambiguous work to completion.

Skill Set:

• Proven backend engineering experience delivering dependable, scalable production services.
• Hands-on success with high-volume, latency-sensitive systems and troubleshooting distributed architectures during heavy demand.
• Practical experience with production AI software, such as LLM or model inference, workflow orchestration, model-facing APIs, or intelligent automation.
• Working knowledge of Python, Node.js, PyTorch, relational and non-relational data stores, Kubernetes, and Docker.
• Experience integrating commercial or open-source language models, including platforms from OpenAI or Anthropic.
• Strong command of API design, databases, cloud infrastructure, and scalable systems architecture.
• Demonstrated ownership, sound engineering judgment, and accountability for outcomes in fast-moving, uncertain environments.
• Clear communication with technical and non-technical partners, paired with a strong bias toward shipping quality software and learning from real-world usage.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. xihmbke Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS